Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Cummins, Ronan"'
Autor:
Cummins, Ronan, Rei, Marek
Grammatical error detection and automated essay scoring are two tasks in the area of automated assessment. Traditionally these tasks have been treated independently with different machine learning models and features used for each task. In this paper
Externí odkaz:
http://arxiv.org/abs/1801.06830
Autor:
Cummins, Ronan
We introduce a generalised multivariate Polya process for document language modelling. The framework outlined here generalises a number of statistical language models used in information retrieval for modelling document generation. In particular, we
Externí odkaz:
http://arxiv.org/abs/1708.06011
Autor:
Rei, Marek, Cummins, Ronan
We investigate the task of assessing sentence-level prompt relevance in learner essays. Various systems using word overlap, neural embeddings and neural compositional models are evaluated on two datasets of learner writing. We propose a new method fo
Externí odkaz:
http://arxiv.org/abs/1606.03144
Autor:
Cummins, Ronan
Query-expansion via pseudo-relevance feedback is a popular method of overcoming the problem of vocabulary mismatch and of increasing average retrieval effectiveness. In this paper, we develop a new method that estimates a query topic model from a set
Externí odkaz:
http://arxiv.org/abs/1602.01665
The multinomial language model has been one of the most effective models of retrieval for over a decade. However, the multinomial distribution does not model one important linguistic phenomenon relating to term-dependency, that is the tendency of a t
Externí odkaz:
http://arxiv.org/abs/1502.00804